Technical Product Manager, LLM/ML Domain

Salary

Core Qualifications

Key Responsibilities

• •Define and evolve the product vision and roadmap for Agoda’s ML & LLM Ops platforms
• •Shape how teams productionize ML models and LLM-powered applications
• •Identify platform gaps, scalability constraints, and optimization opportunities
• •Drive the evolution of our platform to support AI-native development workflows and coding agents
• •Gather requirements from ML engineers, data scientists, backend engineers, and AI application teams
• •Translate complex technical needs into clear product requirements and prioritization frameworks
• •Proactively identify opportunities to reduce friction, improve reliability, and increase deployment velocity
• •Balance experimentation flexibility with governance, safety, and cost efficiency
• •Own features end-to-end: concept, specification, prioritization, implementation, and post-launch analysis
• •Partner closely with engineering to balance platform scalability, performance, and technical debt
• •Ensure platform capabilities support monitoring, evaluation, retraining, versioning, and observability of ML/LLM systems
• •Drive adoption through documentation, training, and internal evangelism
• •Collaborate with engineering to level up Agoda’s platforms to be more compatible with AI coding assistants and autonomous agents
• •Ensure platform APIs, tooling, and abstractions enable meaningful AI-generated code contributions
• •Help define guardrails and workflows that allow safe, reliable AI-assisted development